jMorp updates in 2020: large enhancement of multi-omics data resources on the general Japanese population.
jMorp updates in 2020: large enhancement of multi-omics data resources on the general Japanese population.
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DOI：
10.1093/nar/gkaa1034
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发表时间：
2021-01-08
影响因子：
14.9
通讯作者：
Kinoshita K
中科院分区：
文献类型：
--
作者：
Tadaka S;Hishinuma E;Komaki S;Motoike IN;Kawashima J;Saigusa D;Inoue J;Takayama J;Okamura Y;Aoki Y;Shirota M;Otsuki A;Katsuoka F;Shimizu A;Tamiya G;Koshiba S;Sasaki M;Yamamoto M;Kinoshita K
在东北医疗Megabank项目中，对两项队列研究的参与者进行了基因组和组学分析。部分数据可在日本多组学参考小组（jMorp; https://jmorp.megabank.tohoku.ac.jp）作为基于网络的数据库获得，如我们在2018年发表在《核酸研究》上的先前手稿中所报告的那样。当时，jMorp主要由代谢组数据组成;然而，现在除了增加代谢组数据的样本数量外，还整合了基因组、甲基化组和转录组数据。对于基因组数据，jMorp提供了使用来自三个日本个体的序列的从头组装获得的日本参考序列和使用8，380个日本个体的全基因组测序获得的等位基因频率。此外，组学数据还包括来自300个样本的甲基化组和转录组数据，以及使用高通量核磁共振和高灵敏度质谱法获得的超过755种代谢物的浓度分布。总之，jMorp现在提供了四种不同类型的组学数据（基因组，甲基化组，转录组和代谢组），具有用户友好的Web界面。这将是一个有用的科学数据资源，用于发现疾病生物标志物和个性化的疾病预防和早期诊断。
In the Tohoku Medical Megabank project, genome and omics analyses of participants in two cohort studies were performed. A part of the data is available at the Japanese Multi Omics Reference Panel (jMorp; https://jmorp.megabank.tohoku.ac.jp) as a web-based database, as reported in our previous manuscript published in Nucleic Acid Research in 2018. At that time, jMorp mainly consisted of metabolome data; however, now genome, methylome, and transcriptome data have been integrated in addition to the enhancement of the number of samples for the metabolome data. For genomic data, jMorp provides a Japanese reference sequence obtained using de novo assembly of sequences from three Japanese individuals and allele frequencies obtained using whole-genome sequencing of 8,380 Japanese individuals. In addition, the omics data include methylome and transcriptome data from ∼300 samples and distribution of concentrations of more than 755 metabolites obtained using high-throughput nuclear magnetic resonance and high-sensitivity mass spectrometry. In summary, jMorp now provides four different kinds of omics data (genome, methylome, transcriptome, and metabolome), with a user-friendly web interface. This will be a useful scientific data resource on the general population for the discovery of disease biomarkers and personalized disease prevention and early diagnosis.
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